Cumsum Reset based on a condition in Pandas

Question

My question is very similar to Cumsum within group and reset on condition in pandas and Pandas: cumsum per category based on additional condition but they don't quite get me there due to my conditional requirements. I have a data frame that looks like this:

  TransactionId     Delta
          14          2
          14          3
          14          1
          14          2
          15          4
          15          2
          15          3

I want to create another column "Cumulative" that calculates the cumsum of Delta for each TransactionId. So the result would look like this:

  TransactionId     Delta    Cumulative
          14          2          2
          14          3          5
          14          1          6
          14          2          8
          15          4          4
          15          2          6
          15          3          9

I have the condition for checking TransactionId equality setup:

c1 = df.TransactionId.eq(df.TransactionId.shift())

But I can't figure out how to add the Delta value to the previous Cumulative row.

score 15 · Accepted Answer · answered Oct 31 '18 at 08:42

15

Use groupby.cumsum:

df['Cumulative'] = df.groupby('TransactionId')['Delta'].cumsum()

print (df)

  TransactionId  Delta  Cumulative
0       14         2       2
1       14         3       5
2       14         1       6
3       14         2       8
4       15         4       4 
5       15         2       6 
6       15         3       9

answered Oct 31 '18 at 08:42

Abhi

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3

This is the most clear explanation of this problem that I have seen. – Bryan Butler Sep 11 '20 at 20:33
What if `TransactionId` would be a bool and you want to restart count if bool = True ? – Florian Dec 16 '22 at 12:55

Cumsum Reset based on a condition in Pandas

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